Results 141 to 150 of about 16,685 (199)

PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection. [PDF]

Sci Rep
Mahindru A, Arora H, Kumar A, Gupta SK, Mahajan S, Kadry S, Kim J.   +6 more
europepmc   +1 more source

ANDRIK: Automated Android malware analysis

, 2017
La indústria del delicte cibernètic està millorant i expandint-se ràpidament. Els banquers trojans no només afecten als ordinadors sinó que s'estan estenent a altres plataformes. En aquest cas concret, Blueliv, un proveïdor d'intel·ligència d'amenaces cibernètiques, vol millorar les seves capacitats per detectar aquestes amenaces i mitigar-les.
openaire   +1 more source

Malware in IoT Software and Hardware [PDF]

, 2016
Koutsikou, Konstantina, Milosevic, Jelena, Sklavos, Nicolas   +2 more
core  

Adversarial Samples on Android Malware Detection Systems for IoT Systems. [PDF]

Sensors (Basel), 2019
Liu X, Du X, Zhang X, Zhu Q, Wang H, Guizani M.   +5 more
europepmc   +1 more source

Detecting and classifying method based on similarity matching of Android malware behavior with profile. [PDF]

Springerplus, 2016
Jang JW, Yun J, Mohaisen A, Woo J, Kim HK.   +4 more
europepmc   +1 more source

Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]

Sci Rep
Saeed NH, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]

Sci Rep
Anuradha A, Chouhan AS, Srinivas Rao S.
europepmc   +1 more source

FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]

Sci Rep
Patel A, Tomar DS, Pateriya RK, Haripriya R.   +3 more
europepmc   +1 more source

Mobile malware detection method using improved GhostNetV2 with image enhancement technique. [PDF]

Sci Rep
Du Y, Gao C, Chen X, Cui M, Xu L, Ning A.   +5 more
europepmc   +1 more source

A distributed framework for zero-day malware detection using federated ensemble models. [PDF]

PLoS One
Ishfaq H, Shah JH, Saleem R, Afzal M.
europepmc   +1 more source